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Ferroptosis-related gene signature as a prognostic marker for lower-grade gliomas.
Zheng, Yi; Ji, Qiang; Xie, Lei; Wang, Can; Yu, Chun-Na; Wang, Ya-Li; Jiang, Jing; Chen, Feng; Li, Wen-Bin.
Afiliação
  • Zheng Y; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Ji Q; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Xie L; Department of Neurosurgery, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, China.
  • Wang C; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yu CN; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Wang YL; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Jiang J; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Chen F; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Li WB; Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
J Cell Mol Med ; 25(6): 3080-3090, 2021 03.
Article em En | MEDLINE | ID: mdl-33594759
ABSTRACT
Ferroptosis is a newly discovered form of programmed cell death, which has unique biological effects on metabolism and redox biology. In this study, the prognostic value of ferroptosis-related genes was investigated in lower-grade gliomas (LGG). We downloaded the ferroptosis-related genes from the FerrDb dataset. Univariate Cox and LASSO regression analyses were applied to identify genes correlated with overall survival (OS). Subsequently, 12 ferroptosis-related genes were screened to establish the prognostic signature using stepwise multivariate Cox regression. According to the median value of risk scores, patients were divided into low- and high-risk subgroups. The Kaplan-Meier curves showed the high-risk group had a lower OS. The predictive power of the risk model was validated using the CGGA. Functional analysis revealed that the terms associated with plasma membrane receptor complex, immune response and glutamate metabolic process were primarily related to the risk model. Moreover, we established a nomogram that had a strong forecasting ability for the 1-, 3- and 5-year OS. In addition, we compared the risk scores between different clinical features. We also detected infiltration of macrophages and monocytes in different subgroups. Overall, our study identified the prognostic signature of 12 ferroptosis-related genes, which has the potential to predict the prognosis of LGG.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Transcriptoma / Ferroptose / Glioma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Cell Mol Med Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Transcriptoma / Ferroptose / Glioma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Cell Mol Med Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China